Securing Complex Kubernetes Environments

Through a single, K8s-native, AI-driven security platform, Alcide seamlessly equips DevSecOps to scan, detect and prevent drift, risk and breaches in real time, fully integrating with the CI/CD pipeline. With a single policy framework and end-to-end cluster visibility across Kubernetes clusters, Alcide enables the continuous and automated detection and management of configuration and runtime security risks.

Our use cases are targeted to help developers, DevOps and security teams to discover, manage, and secure their complex Kubernetes deployments. Alcide secures the cloud infrastructure, workloads and service mesh against tomorrow’s cyber attacks.

Alcide’s application-aware micro-segmentation solution offers additional security by helping to secure the application configuration since it looks at behavior patterns of workloads to determine if workloads have been compromised, and then quarantines or terminates those workloads to prevent the spread of malware.

The Alcide platform provides a threat detection engine and offers protection against attacks that are either overlooked or undetected by traditional protection layers, including abnormal behaviors and security incidents such as DNS exfiltration, spoofing, poisoning, and lateral movement.

DevOps Guide

TOP 10 KUBERNETES SECURITY BEST PRACTICES

Alcide secures Kubernetes multi-cluster deployments from code-to-production. Companies use Alcide to scale their Kubernetes deployments without compromising on security. This enables the smooth operation of business apps while protecting cloud deployments from malicious attacks.